Mastering R for Epidemiologic Research
Mastering R for Epidemiologic Research
  • Content
  • Posit Cloud
Overview
  • Welcome
Course content
  • 00: Setup and Introduction
  • 01: Reading Data
  • 02: Transforming Data
  • 03: Visualizing Data, part 1
  • 04: Visualizing Data, part 2
  • 05: Assignment 1
  • 06: Tidying data
  • 07: Assignment 2
  • 08: Types, Vectors, and Functions
  • 09: Functional programming in R
  • 10: Quarto, part 1
  • 11: Quarto, part 2
  • 12: Assignment 3
  • 13: Assignment 4
  • 14: What's next?
  • Contents
  • Required content
  • Suggested content
  • Lecture: What’s Next?
    • Videos

What's Next?

Content for Module 14: What's Next?

Required content

  • Lecture: What’s Next? (see below)

Suggested content

  • What They Forgot to Teach You About R: Maintaining R

Lecture: What’s Next?

Videos

Videos for each section of the lecture are available at this YouTube playlist.

  • 01 - Best Practices in R and What’s Next

You can also watch the playlist (and skip around to different sections) here:

Last updated on August 2, 2023

Intensive Short Course: Mastering R for Epidemiologic Research (2025)
Berlin School of Public Health   

Malcolm Barrett    malcolmbarrett@gmail.com

Intensive Short Course    This website will be available until May 31 2026

All content licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Content 2025 Malcolm Barrett

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